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MindSpore is the AI computing framework. Fully developed by Huawei from the ground up, it implements on-demand collaboration across the cloud-edge-device. It provides unified APIs and end-to-end AI capabilities for model development, execution, and deployment in all scenarios.

This AI processor delivers 256 TFLOPS@FP16 and 512 TOPS@INT8 of compute performance with just 310 W of max power consumption. The massive boost in power efficiency is thanks to Huawei's own Da Vinci architecture.

Packaged in a form factor half the size of a credit card, the Atlas 200 AI’s power consumption is as low as 9.5 Watts while supporting 16-channel real-time HD video analytics. This high-performance, low-power product can be deployed on devices such as cameras, drones, and robots.

Helps AI application developers quickly get familiar with the development environment. The device provides external ports for developers to quickly and easily access and use the powerful processing capability of the Ascend 310 processor.

Designed for real-time data processing at the edge, a single device can provide 16 TOPS of INT8 processing capability with ultra-low power consumption. Integrated Wi-Fi and LTE wireless data interfaces support flexible network access and data transmission schemes.

Atlas 800 is best suited for real-time inference that demands high efficiency at low power consumption. It is perfect for video and image analytics, including optical character recognition, precision marketing, and medical imaging. Configure it with up to eight Atlas 300 AI accelerator cards for any scenario and any inference requirement.

Provides end-to-end capabilities for data labeling, model generation, model training, and model inference services. Available in integrated delivery of software and hardware, it reduces the technical entry requirements for AI applications and enables quick development and rollout.

AI Computing Platform

MindSpore is the AI computing framework. Fully developed by Huawei from the ground up, it implements on-demand collaboration across the cloud-edge-device. It provides unified APIs and end-to-end AI capabilities for model development, execution, and deployment in all scenarios.

This AI processor delivers 256 TFLOPS@FP16 and 512 TOPS@INT8 of compute performance with just 310 W of max power consumption. The massive boost in power efficiency is thanks to Huawei's own Da Vinci architecture.

Packaged in a form factor half the size of a credit card, the Atlas 200 AI’s power consumption is as low as 9.5 Watts while supporting 16-channel real-time HD video analytics. This high-performance, low-power product can be deployed on devices such as cameras, drones, and robots.

Helps AI application developers quickly get familiar with the development environment. The device provides external ports for developers to quickly and easily access and use the powerful processing capability of the Ascend 310 processor.

Designed for real-time data processing at the edge, a single device can provide 16 TOPS of INT8 processing capability with ultra-low power consumption. Integrated Wi-Fi and LTE wireless data interfaces support flexible network access and data transmission schemes.

Atlas 800 is best suited for real-time inference that demands high efficiency at low power consumption. It is perfect for video and image analytics, including optical character recognition, precision marketing, and medical imaging. Configure it with up to eight Atlas 300 AI accelerator cards for any scenario and any inference requirement.

Provides end-to-end capabilities for data labeling, model generation, model training, and model inference services. Available in integrated delivery of software and hardware, it reduces the technical entry requirements for AI applications and enables quick development and rollout.

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